Validation of commercial real-time PCR-arrays for environmental risk assessment: Application to the study of p,p´-DDE toxicity in Mus spretus mice liver

  • Noelia Morales-Prieto
  • , Carmen Pueyo
  • , Nieves Abril

Research output: Contribution to journalArticlepeer-review

Abstract

Data on gene transcription profiles provide a comprehensive assessment of the toxic and defensive mechanisms that are triggered by pollutants. PCR-arrays have emerged as a reliable tool for analyzing the expression of a panel of relevant, pathway- or disease-focused genes under uniform cycling conditions. By using SYBR Green-optimized primer assays, it is possible to simultaneously amplify a sample with high specificity and amplification efficiencies. However, commercial PCR-arrays target a limited group of organisms, excluding most of those with environmental relevance, as is the case with Mus spretus mice. Our previous works with M. spretus showed a high sequence similarity between M. spretus and the model organism M. musculus allowing the use of commercial platforms with M. spretus. This work demonstrates the successful application of a commercial PCR-array designed for the model organism M. musculus to assess the biological effects caused by the organochlorine pesticide p,p´-DDE in a focused panel of stress-related genes in M. spretus mice. This cost-effective, easy-to-use platform detected quantitative gene profiling differences between M. spretus hepatic RNA samples and generated data highly concordant with those obtained by absolute qRT-PCR, the most sensitive method to quantify transcripts. This platform is also suitable for use in field studies with free-living M. spretus mice for routine environmental risk assessment. Our results provide a broad impression of the biological consequences of p,p´-DDE on the hepatic health of mice.

Original languageEnglish
Pages (from-to)178-188
Number of pages11
JournalEnvironmental Pollution
Volume230
DOIs
Publication statusPublished - 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Environmental biomonitoring
  • Mus spretus
  • p,p´-DDE
  • PCR-array
  • Transcriptional profiles

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